Data analysis with Mplus

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1. Verfasser: Geiser, Christian 1978- (VerfasserIn)
Format: Buch
Sprache:English
German
Veröffentlicht: New York ; London The Guilford Press [2013]
Ausgabe:English edition
Schriftenreihe:Methodology in the social sciences
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MARC

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Datensatz im Suchindex

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adam_text Contents 1 • Data Management in SPSS 1.1 Coding Missing Values 2 1.2 Exporting an ASCII Data File for Mplus 2 • Reading Data Into Mplus 2.1 Importing and Analyzing Individual Data (Raw Data) 10 2.1.1 Basic Structure of the Mplus Syntax and BAS IC Analysis 10 2.1.2 Mplus Output for BASIC Analysis 14 2.2 Importing and Analyzing Summary Data (Covariance or Correlation Matrices) 21 3 • linear Structural Equation Models 3.1 What Are Linear SEMs? 24 3.2 Simple Linear Regression Analysis with Manifest Variables 28 3.3 Latent Regression Analysis 39 3.4 Confirmatory Factor Analysis 51 3.4.1 First-Order CFA 51 3.4.2 Second-Order CFA 58 3.5 Path Models and Mediator Analysis 62 3.5.1 Introduction and Manifest Path Analysis 3.5.2 Manifest Path Analysis in Mplus 65 3.5.3 Latent Path Analysis 73 3.5.4 Latent Path Analysis in Mplus 74 xii Contents 4 • Structural Equation Models 81 for Measuring Variability and Change 4.1 LS Analysis 82 4.1.1 LS versus LST Models 85 4.1.2 Analysis of LS Models in Mplus 85 4.1.3 Modeling Indicator-Specific Effects 88 4.1.4 Testing for Measurement Invariance across Time 99 4.2 LST Analysis 116 4.3 Autoregressive Models 126 4.3.1 Manifest Autoregressive Models 127 4.3.2 Latent Autoregressive Models 133 4.4 Latent Change Models 145 4.5 Latent Growth Curve Models 163 4.5.1 First-Order LGCMs 164 4.5.2 Second-Order LGCMs 183 5 • Multilevel Regression Analysis 195 5.1 Introduction to Multilevel Analysis 195 5.2 Specification of Multilevel Models in Mplus 197 5.3 Option TwoLevel BASIC 198 5.4 Random Intercept Models 205 5.4.1 Null Model (Intercept-Only Model) 205 5.4.2 One-Way Random Effects ANCOVA 209 5.4.3 Means-as-Outcomes Model 214 5.5 Random Intercept and Slope Models 220 5.5.1 Random Coefficient Regression Analysis 221 5.5.2 Intercepts-and-Slopes-as-Outcomes Model 224 6 • Latent Class Analysis 6.1 Introduction to Latent Class Analysis 232 6.2 Specification of LCA Models in Mplus 235 6.3 Model Fit Assessment and Model Comparisons 6.3.1 Absolute Model Fit 258 6.3.2 Relative Model Fit 263 6.3.3 Interpretability 268 Appendix A. Summary of Key Mplus Commands 271 Discussed in This Book Appendix B. Common Mistakes in the Mplus 279 Input Setup and Troubleshooting Appendix C. Further Readings 283 232 257 Contents xiii References 285 Author Index 293 Subject Index 296 About the Author 305 A PRACTICAL INTRODUCTION TO USING MpLUS FOR THE ANALYSIS OF MULTIVARIATE DATA, THIS volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats—for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website {www.^uilford.com/^iscr-matemls) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.
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physical xiii, 305 Seiten Illustrationen, Diagramme
publishDate 2013
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series2 Methodology in the social sciences
spellingShingle Geiser, Christian 1978-
Data analysis with Mplus
Mplus (DE-588)7716737-5 gnd
subject_GND (DE-588)7716737-5
title Data analysis with Mplus
title_alt Datenanalyse mit Mplus
title_auth Data analysis with Mplus
title_exact_search Data analysis with Mplus
title_full Data analysis with Mplus Christian Geiser
title_fullStr Data analysis with Mplus Christian Geiser
title_full_unstemmed Data analysis with Mplus Christian Geiser
title_short Data analysis with Mplus
title_sort data analysis with mplus
topic Mplus (DE-588)7716737-5 gnd
topic_facet Mplus
url http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027602139&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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